Overview

Brought to you by YData

Dataset statistics

Number of variables15
Number of observations252
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.7 KiB
Average record size in memory120.5 B

Variable types

Numeric15

Alerts

AAPL is highly overall correlated with MCD and 2 other fieldsHigh correlation
AMZN is highly overall correlated with CRM and 11 other fieldsHigh correlation
CRM is highly overall correlated with AMZN and 10 other fieldsHigh correlation
GOOG is highly overall correlated with AMZN and 10 other fieldsHigh correlation
JPM is highly overall correlated with AMZN and 9 other fieldsHigh correlation
KO is highly overall correlated with AMZN and 8 other fieldsHigh correlation
MCD is highly overall correlated with AAPLHigh correlation
NKE is highly overall correlated with AMZN and 9 other fieldsHigh correlation
ORCL is highly overall correlated with AMZN and 10 other fieldsHigh correlation
SBUX is highly overall correlated with AMZN and 8 other fieldsHigh correlation
T is highly overall correlated with AAPL and 3 other fieldsHigh correlation
TSLA is highly overall correlated with AAPL and 7 other fieldsHigh correlation
TWTR is highly overall correlated with AMZN and 3 other fieldsHigh correlation
XOM is highly overall correlated with AMZN and 8 other fieldsHigh correlation
ZM is highly overall correlated with AMZN and 9 other fieldsHigh correlation
AMZN has unique valuesUnique

Reproduction

Analysis started2024-09-13 04:46:15.880230
Analysis finished2024-09-13 04:46:27.833618
Duration11.95 seconds
Software versionydata-profiling vv4.10.0
Download configurationconfig.json

Variables

JPM
Real number (ℝ)

HIGH CORRELATION 

Distinct249
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.34576
Minimum108
Maximum168.01387
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-09-13T00:46:27.882714image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum108
5-th percentile112.961
Q1120.68248
median139.21748
Q3156.08053
95-th percentile165.62097
Maximum168.01387
Range60.01387
Interquartile range (IQR)35.398048

Descriptive statistics

Standard deviation18.900877
Coefficient of variation (CV)0.13564013
Kurtosis-1.5222625
Mean139.34576
Median Absolute Deviation (MAD)17.530998
Skewness-0.048269526
Sum35115.131
Variance357.24315
MonotonicityNot monotonic
2024-09-13T00:46:27.966653image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
161.7346191 2
 
0.8%
164.1504822 2
 
0.8%
153.4452209 2
 
0.8%
155.2825623 1
 
0.4%
117.8475647 1
 
0.4%
125.6584702 1
 
0.4%
121.9413452 1
 
0.4%
120.3553772 1
 
0.4%
122.2585449 1
 
0.4%
118.313446 1
 
0.4%
Other values (239) 239
94.8%
ValueCountFrequency (%)
108 1
0.4%
111.6226273 1
0.4%
111.7900009 1
0.4%
111.8899994 1
0.4%
111.9100037 1
0.4%
112.0389404 1
0.4%
112.3600006 1
0.4%
112.4300003 1
0.4%
112.4354401 1
0.4%
112.6200027 1
0.4%
ValueCountFrequency (%)
168.0138702 1
0.4%
167.6421814 1
0.4%
167.192276 1
0.4%
167.0944672 1
0.4%
166.791275 1
0.4%
166.732605 1
0.4%
166.625 1
0.4%
166.4880676 1
0.4%
166.3609161 1
0.4%
166.1653137 1
0.4%

XOM
Real number (ℝ)

HIGH CORRELATION 

Distinct249
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.71046
Minimum51.318935
Maximum103.58355
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-09-13T00:46:28.046143image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum51.318935
5-th percentile53.210869
Q161.092023
median78.50219
Q386.732826
95-th percentile96.686563
Maximum103.58355
Range52.264614
Interquartile range (IQR)25.640803

Descriptive statistics

Standard deviation14.255036
Coefficient of variation (CV)0.18828357
Kurtosis-1.3026783
Mean75.71046
Median Absolute Deviation (MAD)12.366947
Skewness-0.096822659
Sum19079.036
Variance203.20605
MonotonicityNot monotonic
2024-09-13T00:46:28.126381image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62.35411453 2
 
0.8%
77.42689514 2
 
0.8%
84.81591034 2
 
0.8%
51.4433136 1
 
0.4%
86.45578003 1
 
0.4%
89.88695526 1
 
0.4%
88.53408813 1
 
0.4%
89.8967514 1
 
0.4%
84.71078491 1
 
0.4%
83.34811401 1
 
0.4%
Other values (239) 239
94.8%
ValueCountFrequency (%)
51.31893539 1
0.4%
51.3667717 1
0.4%
51.4433136 1
0.4%
51.64422607 1
0.4%
51.71119308 1
0.4%
51.74946594 1
0.4%
52.18955994 1
0.4%
52.21826935 1
0.4%
52.49571228 1
0.4%
52.6966362 1
0.4%
ValueCountFrequency (%)
103.5835495 1
0.4%
102.3752975 1
0.4%
101.3453064 1
0.4%
100.1200027 1
0.4%
99.49329376 1
0.4%
99.08999634 1
0.4%
98.58000183 1
0.4%
98.13647461 1
0.4%
98 1
0.4%
97.8888855 1
0.4%

CRM
Real number (ℝ)

HIGH CORRELATION 

Distinct251
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean220.20385
Minimum155.60001
Maximum309.95999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-09-13T00:46:28.200847image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum155.60001
5-th percentile161.1665
Q1181.305
median211.015
Q3259.38751
95-th percentile301.88551
Maximum309.95999
Range154.35999
Interquartile range (IQR)78.082516

Descriptive statistics

Standard deviation45.921136
Coefficient of variation (CV)0.20853921
Kurtosis-1.1313912
Mean220.20385
Median Absolute Deviation (MAD)38.764999
Skewness0.42672227
Sum55491.37
Variance2108.7507
MonotonicityNot monotonic
2024-09-13T00:46:28.279973image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
159.6499939 2
 
0.8%
268.3200073 1
 
0.4%
163.6000061 1
 
0.4%
186.2299957 1
 
0.4%
177.2299957 1
 
0.4%
171.4299927 1
 
0.4%
174.5700073 1
 
0.4%
170.0800018 1
 
0.4%
174.6799927 1
 
0.4%
185.7400055 1
 
0.4%
Other values (241) 241
95.6%
ValueCountFrequency (%)
155.6000061 1
0.4%
156.1199951 1
0.4%
156.9299927 1
0.4%
157.3300018 1
0.4%
159.6499939 2
0.8%
159.6699982 1
0.4%
159.8500061 1
0.4%
160.2100067 1
0.4%
160.2400055 1
0.4%
160.3200073 1
0.4%
ValueCountFrequency (%)
309.9599915 1
0.4%
309.7099915 1
0.4%
308.0400085 1
0.4%
308.019989 1
0.4%
307.25 1
0.4%
307.0899963 1
0.4%
306.6499939 1
0.4%
305.4899902 1
0.4%
302.9899902 1
0.4%
302.980011 1
0.4%

AMZN
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct252
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.3809
Minimum102.31
Maximum184.80299
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-09-13T00:46:28.358457image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum102.31
5-th percentile107.5757
Q1128.24
median153.89325
Q3168.90088
95-th percentile176.16093
Maximum184.80299
Range82.492996
Interquartile range (IQR)40.660879

Descriptive statistics

Standard deviation23.218205
Coefficient of variation (CV)0.15647705
Kurtosis-1.0796404
Mean148.3809
Median Absolute Deviation (MAD)16.418495
Skewness-0.51614396
Sum37391.986
Variance539.08505
MonotonicityNot monotonic
2024-09-13T00:46:28.441080image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
173.9499969 1
 
0.4%
108.8590012 1
 
0.4%
148.2960052 1
 
0.4%
144.3500061 1
 
0.4%
146.0740051 1
 
0.4%
139.3910065 1
 
0.4%
138.1670074 1
 
0.4%
144.5964966 1
 
0.4%
124.2815018 1
 
0.4%
124.5 1
 
0.4%
Other values (242) 242
96.0%
ValueCountFrequency (%)
102.3099976 1
0.4%
103.6600037 1
0.4%
103.6699982 1
0.4%
104.0999985 1
0.4%
105.3720016 1
0.4%
106.2099991 1
0.4%
106.2200012 1
0.4%
106.7750015 1
0.4%
106.9304962 1
0.4%
107.1125031 1
0.4%
ValueCountFrequency (%)
184.8029938 1
0.4%
183.8285065 1
0.4%
179.0204926 1
0.4%
179.0019989 1
0.4%
178.8114929 1
0.4%
178.6284943 1
0.4%
178.0785065 1
0.4%
177.4499969 1
0.4%
177.2839966 1
0.4%
177.0350037 1
0.4%

TSLA
Real number (ℝ)

HIGH CORRELATION 

Distinct251
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean296.77365
Minimum209.38667
Maximum409.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-09-13T00:46:28.522013image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum209.38667
5-th percentile232.46833
Q1255.2625
median292.12834
Q3336.4725
95-th percentile375.1485
Maximum409.97
Range200.58333
Interquartile range (IQR)81.210007

Descriptive statistics

Standard deviation47.54629
Coefficient of variation (CV)0.16021062
Kurtosis-0.86857286
Mean296.77365
Median Absolute Deviation (MAD)40.526672
Skewness0.29676961
Sum74786.96
Variance2260.6496
MonotonicityNot monotonic
2024-09-13T00:46:28.607911image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
288.0899963 2
 
0.8%
262.3699951 1
 
0.4%
325.7333374 1
 
0.4%
336.2600098 1
 
0.4%
335.0166626 1
 
0.4%
332.6733398 1
 
0.4%
292.1400146 1
 
0.4%
293.8366699 1
 
0.4%
292.5033264 1
 
0.4%
290.2533264 1
 
0.4%
Other values (241) 241
95.6%
ValueCountFrequency (%)
209.386673 1
0.4%
213.1000061 1
0.4%
215.7366638 1
0.4%
216.7599945 1
0.4%
219.6000061 1
0.4%
220.8899994 1
0.4%
221.3000031 1
0.4%
224.4733276 1
0.4%
224.9666595 1
0.4%
227.2633362 1
0.4%
ValueCountFrequency (%)
409.9700012 1
0.4%
407.3633423 1
0.4%
404.6199951 1
0.4%
402.8633423 1
0.4%
399.9266663 1
0.4%
390.6666565 1
0.4%
387.6466675 1
0.4%
385.6233215 1
0.4%
383.1966553 1
0.4%
381.8166809 1
0.4%

TWTR
Real number (ℝ)

HIGH CORRELATION 

Distinct242
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.869762
Minimum32.419998
Maximum67.220001
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-09-13T00:46:28.691187image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum32.419998
5-th percentile34.093
Q138.089999
median41.84
Q349.1175
95-th percentile63.810501
Maximum67.220001
Range34.800003
Interquartile range (IQR)11.027501

Descriptive statistics

Standard deviation9.2993344
Coefficient of variation (CV)0.2072517
Kurtosis-0.25074342
Mean44.869762
Median Absolute Deviation (MAD)4.6499996
Skewness0.92619394
Sum11307.18
Variance86.47762
MonotonicityNot monotonic
2024-09-13T00:46:28.773463image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43.99000168 2
 
0.8%
43.93999863 2
 
0.8%
40.88999939 2
 
0.8%
39.52000046 2
 
0.8%
44.45999908 2
 
0.8%
39.59999847 2
 
0.8%
37.29999924 2
 
0.8%
37.38999939 2
 
0.8%
45.08000183 2
 
0.8%
38.79000092 2
 
0.8%
Other values (232) 232
92.1%
ValueCountFrequency (%)
32.41999817 1
0.4%
32.65000153 1
0.4%
32.68000031 1
0.4%
32.75999832 1
0.4%
32.93000031 1
0.4%
33 1
0.4%
33.02999878 1
0.4%
33.38999939 1
0.4%
33.49000168 1
0.4%
33.61999893 1
0.4%
ValueCountFrequency (%)
67.22000122 1
0.4%
66.69000244 1
0.4%
66.11000061 1
0.4%
65.80000305 1
0.4%
65.55000305 1
0.4%
65.40000153 1
0.4%
65.37000275 1
0.4%
64.98000336 1
0.4%
64.83999634 1
0.4%
64.66000366 1
0.4%

AAPL
Real number (ℝ)

HIGH CORRELATION 

Distinct247
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.7499
Minimum129.87959
Maximum181.25993
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-09-13T00:46:28.857620image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum129.87959
5-th percentile138.23576
Q1147.7975
median158.70476
Q3168.63012
95-th percentile175.65419
Maximum181.25993
Range51.380341
Interquartile range (IQR)20.832619

Descriptive statistics

Standard deviation12.547937
Coefficient of variation (CV)0.079543232
Kurtosis-1.1149953
Mean157.7499
Median Absolute Deviation (MAD)10.758789
Skewness-0.082478903
Sum39752.974
Variance157.45072
MonotonicityNot monotonic
2024-09-13T00:46:29.049087image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
148.5037231 2
 
0.8%
171.4804077 2
 
0.8%
174.35849 2
 
0.8%
168.3983307 2
 
0.8%
141.463501 2
 
0.8%
157.5094604 1
 
0.4%
157.0618286 1
 
0.4%
156.322876 1
 
0.4%
165.5464935 1
 
0.4%
159.0251312 1
 
0.4%
Other values (237) 237
94.0%
ValueCountFrequency (%)
129.8795929 1
0.4%
131.3775024 1
0.4%
131.6970673 1
0.4%
132.5758362 1
0.4%
135.162262 1
0.4%
135.2421417 1
0.4%
135.6815338 1
0.4%
136.5303497 1
0.4%
136.9397888 1
0.4%
137.1594849 1
0.4%
ValueCountFrequency (%)
181.2599335 1
0.4%
179.5868683 1
0.4%
178.9594574 1
0.4%
178.710495 1
0.4%
178.6407776 1
0.4%
178.5610962 1
0.4%
178.5511322 1
0.4%
178.4495697 1
0.4%
177.9310608 1
0.4%
177.4656372 1
0.4%

ORCL
Real number (ℝ)

HIGH CORRELATION 

Distinct246
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.315038
Minimum63.764824
Maximum102.40598
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-09-13T00:46:29.132036image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum63.764824
5-th percentile68.90732
Q174.171185
median79.930485
Q388.311262
95-th percentile95.188656
Maximum102.40598
Range38.641159
Interquartile range (IQR)14.140078

Descriptive statistics

Standard deviation8.7193878
Coefficient of variation (CV)0.10722971
Kurtosis-0.92155527
Mean81.315038
Median Absolute Deviation (MAD)7.4377213
Skewness0.26030788
Sum20491.39
Variance76.027724
MonotonicityNot monotonic
2024-09-13T00:46:29.214837image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.87253571 2
 
0.8%
94.18583679 2
 
0.8%
79.92845917 2
 
0.8%
71.34094238 2
 
0.8%
85.05725098 2
 
0.8%
91.82452393 2
 
0.8%
74.8751297 1
 
0.4%
72.20706177 1
 
0.4%
71.22147369 1
 
0.4%
72.16723633 1
 
0.4%
Other values (236) 236
93.7%
ValueCountFrequency (%)
63.76482391 1
0.4%
66.23377991 1
0.4%
66.74150848 1
0.4%
66.84106445 1
0.4%
67.32888031 1
0.4%
67.37865448 1
0.4%
67.41847992 1
0.4%
67.99590302 1
0.4%
68.27465057 1
0.4%
68.32442474 1
0.4%
ValueCountFrequency (%)
102.405983 1
0.4%
101.9811325 1
0.4%
101.3982162 1
0.4%
99.67910004 1
0.4%
98.69110107 1
0.4%
97.07079315 1
0.4%
96.71511078 1
0.4%
95.89507294 1
0.4%
95.81603241 1
0.4%
95.48011017 1
0.4%

GOOG
Real number (ℝ)

HIGH CORRELATION 

Distinct249
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.73097
Minimum105.44
Maximum150.709
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-09-13T00:46:29.292208image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum105.44
5-th percentile109.34573
Q1116.9445
median134.41375
Q3142.63587
95-th percentile148.18002
Maximum150.709
Range45.268997
Interquartile range (IQR)25.691374

Descriptive statistics

Standard deviation13.438496
Coefficient of variation (CV)0.10279504
Kurtosis-1.3742674
Mean130.73097
Median Absolute Deviation (MAD)11.134499
Skewness-0.30225092
Sum32944.205
Variance180.59317
MonotonicityNot monotonic
2024-09-13T00:46:29.366523image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
109.9100037 2
 
0.8%
148.036499 2
 
0.8%
114.6999969 2
 
0.8%
116.7464981 1
 
0.4%
130.5310059 1
 
0.4%
128.2454987 1
 
0.4%
124.9375 1
 
0.4%
119.6139984 1
 
0.4%
123.25 1
 
0.4%
119.5059967 1
 
0.4%
Other values (239) 239
94.8%
ValueCountFrequency (%)
105.4400024 1
0.4%
105.8395004 1
0.4%
105.9260025 1
0.4%
106.6360016 1
0.4%
106.876503 1
0.4%
107.1940002 1
0.4%
107.8655014 1
0.4%
108.2099991 1
0.4%
108.2959976 1
0.4%
108.3600006 1
0.4%
ValueCountFrequency (%)
150.7089996 1
0.4%
149.9524994 1
0.4%
149.6454926 1
0.4%
149.3880005 1
0.4%
149.3515015 1
0.4%
149.2485046 1
0.4%
149.2409973 1
0.4%
149.076004 1
0.4%
149.0619965 1
0.4%
148.7205048 1
0.4%

ZM
Real number (ℝ)

HIGH CORRELATION 

Distinct249
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.33599
Minimum80.400002
Maximum301.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-09-13T00:46:29.438887image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum80.400002
5-th percentile90.256999
Q1107.8225
median122.71
Q3201.465
95-th percentile280.46101
Maximum301.5
Range221.1
Interquartile range (IQR)93.642506

Descriptive statistics

Standard deviation68.234365
Coefficient of variation (CV)0.4255711
Kurtosis-0.92036378
Mean160.33599
Median Absolute Deviation (MAD)25.179996
Skewness0.78552412
Sum40404.67
Variance4655.9286
MonotonicityNot monotonic
2024-09-13T00:46:29.514295image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
119.8000031 2
 
0.8%
263.7099915 2
 
0.8%
90.94000244 2
 
0.8%
290.8599854 1
 
0.4%
104.7900009 1
 
0.4%
100.8399963 1
 
0.4%
108.9800034 1
 
0.4%
103.5299988 1
 
0.4%
99.56999969 1
 
0.4%
92.33999634 1
 
0.4%
Other values (239) 239
94.8%
ValueCountFrequency (%)
80.40000153 1
0.4%
81 1
0.4%
81.31999969 1
0.4%
81.41000366 1
0.4%
81.41999817 1
0.4%
83.61000061 1
0.4%
84.69000244 1
0.4%
84.80000305 1
0.4%
84.97000122 1
0.4%
85.72000122 1
0.4%
ValueCountFrequency (%)
301.5 1
0.4%
299.9599915 1
0.4%
298.2900085 1
0.4%
295.8599854 1
0.4%
295.0899963 1
0.4%
293.6000061 1
0.4%
290.8599854 1
0.4%
290.2399902 1
0.4%
287.6799927 1
0.4%
285.6600037 1
0.4%

MCD
Real number (ℝ)

HIGH CORRELATION 

Distinct250
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean246.76473
Minimum219.57451
Maximum265.36743
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-09-13T00:46:29.585298image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum219.57451
5-th percentile232.48446
Q1239.38257
median246.64452
Q3253.26661
95-th percentile262.81765
Maximum265.36743
Range45.792923
Interquartile range (IQR)13.884041

Descriptive statistics

Standard deviation9.840165
Coefficient of variation (CV)0.039876709
Kurtosis-0.31638788
Mean246.76473
Median Absolute Deviation (MAD)6.9084549
Skewness-0.16817986
Sum62184.711
Variance96.828848
MonotonicityNot monotonic
2024-09-13T00:46:29.659730image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
247.9489899 2
 
0.8%
248.7126465 2
 
0.8%
232.9534912 1
 
0.4%
241.7594452 1
 
0.4%
250.1171265 1
 
0.4%
245.8641052 1
 
0.4%
244.4398346 1
 
0.4%
251.4128265 1
 
0.4%
246.4377747 1
 
0.4%
243.9452972 1
 
0.4%
Other values (240) 240
95.2%
ValueCountFrequency (%)
219.5745087 1
0.4%
220.0393829 1
0.4%
220.3558807 1
0.4%
221.8790588 1
0.4%
223.7088318 1
0.4%
224.3912964 1
0.4%
226.4980316 1
0.4%
228.52565 1
0.4%
230.0290375 1
0.4%
231.0362701 1
0.4%
ValueCountFrequency (%)
265.3674316 1
0.4%
265.2677917 1
0.4%
265.1287231 1
0.4%
265.0889587 1
0.4%
264.840332 1
0.4%
264.1759644 1
0.4%
264.1071777 1
0.4%
264.0874634 1
0.4%
263.9949646 1
0.4%
263.8415527 1
0.4%

NKE
Real number (ℝ)

HIGH CORRELATION 

Distinct249
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.49381
Minimum100.89021
Maximum175.8461
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-09-13T00:46:29.732220image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum100.89021
5-th percentile104.85831
Q1114.10724
median135.65211
Q3157.43779
95-th percentile169.31126
Maximum175.8461
Range74.955894
Interquartile range (IQR)43.330545

Descriptive statistics

Standard deviation22.269809
Coefficient of variation (CV)0.16315617
Kurtosis-1.3969475
Mean136.49381
Median Absolute Deviation (MAD)21.649616
Skewness0.059283929
Sum34396.441
Variance495.94437
MonotonicityNot monotonic
2024-09-13T00:46:29.810580image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.8089523 2
 
0.8%
141.8645782 2
 
0.8%
107.5510788 2
 
0.8%
163.0174866 1
 
0.4%
130.9286194 1
 
0.4%
135.1460114 1
 
0.4%
134.7382202 1
 
0.4%
128.3822632 1
 
0.4%
127.2582703 1
 
0.4%
119.8778076 1
 
0.4%
Other values (239) 239
94.8%
ValueCountFrequency (%)
100.8902054 1
0.4%
101.90728 1
0.4%
102.4856262 1
0.4%
102.9243698 1
0.4%
102.954277 1
0.4%
103.462822 1
0.4%
103.6423035 1
0.4%
103.9314728 1
0.4%
104.0212173 1
0.4%
104.4001236 1
0.4%
ValueCountFrequency (%)
175.8460999 1
0.4%
173.795517 1
0.4%
173.2407684 1
0.4%
172.6067657 1
0.4%
172.1907196 1
0.4%
170.8830719 1
0.4%
170.5363617 1
0.4%
170.4174805 1
0.4%
170.2391815 1
0.4%
170.2193604 1
0.4%

SBUX
Real number (ℝ)

HIGH CORRELATION 

Distinct249
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.284731
Minimum69.175858
Maximum116.73616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-09-13T00:46:29.885176image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum69.175858
5-th percentile72.555407
Q179.538607
median89.979958
Q3109.43659
95-th percentile114.26677
Maximum116.73616
Range47.560303
Interquartile range (IQR)29.897985

Descriptive statistics

Standard deviation14.76279
Coefficient of variation (CV)0.15825516
Kurtosis-1.4930129
Mean93.284731
Median Absolute Deviation (MAD)13.591145
Skewness0.12981121
Sum23507.752
Variance217.93996
MonotonicityNot monotonic
2024-09-13T00:46:29.958095image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
109.0183029 2
 
0.8%
82.07104492 2
 
0.8%
96.00986481 2
 
0.8%
76.99591064 1
 
0.4%
74.67556763 1
 
0.4%
73.79679108 1
 
0.4%
76.93666077 1
 
0.4%
75.6135788 1
 
0.4%
69.17585754 1
 
0.4%
74.41884613 1
 
0.4%
Other values (239) 239
94.8%
ValueCountFrequency (%)
69.17585754 1
0.4%
69.50399017 1
0.4%
70.54803467 1
0.4%
70.8761673 1
0.4%
70.95314789 1
0.4%
71.46282959 1
0.4%
71.52248383 1
0.4%
71.90032959 1
0.4%
71.95005035 1
0.4%
72.00970459 1
0.4%
ValueCountFrequency (%)
116.7361603 1
0.4%
116.5796585 1
0.4%
116.2666321 1
0.4%
116.1981583 1
0.4%
115.4645309 1
0.4%
114.9112167 1
0.4%
114.8873901 1
0.4%
114.8091431 1
0.4%
114.6754456 1
0.4%
114.6330795 1
0.4%

T
Real number (ℝ)

HIGH CORRELATION 

Distinct217
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.572554
Minimum15.860222
Maximum21.039766
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-09-13T00:46:30.035510image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum15.860222
5-th percentile16.863243
Q117.67088
median18.389999
Q319.266302
95-th percentile20.799999
Maximum21.039766
Range5.1795444
Interquartile range (IQR)1.5954213

Descriptive statistics

Standard deviation1.2139849
Coefficient of variation (CV)0.065364459
Kurtosis-0.59676133
Mean18.572554
Median Absolute Deviation (MAD)0.80279636
Skewness0.26714236
Sum4680.2835
Variance1.4737594
MonotonicityNot monotonic
2024-09-13T00:46:30.113223image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.0392189 4
 
1.6%
17.53886032 3
 
1.2%
17.7273922 3
 
1.2%
18.9611187 2
 
0.8%
21.01016045 2
 
0.8%
18.34263039 2
 
0.8%
18.1494751 2
 
0.8%
17.74170113 2
 
0.8%
20.79999924 2
 
0.8%
17.64154816 2
 
0.8%
Other values (207) 228
90.5%
ValueCountFrequency (%)
15.86022186 1
0.4%
15.90314579 1
0.4%
15.94606781 1
0.4%
16.05337906 1
0.4%
16.33238029 1
0.4%
16.33953476 1
0.4%
16.41107368 1
0.4%
16.48976707 1
0.4%
16.51122856 1
0.4%
16.57561493 1
0.4%
ValueCountFrequency (%)
21.03976631 1
0.4%
21.02989578 1
0.4%
21.02002716 1
0.4%
21.01016045 2
0.8%
20.94108009 1
0.4%
20.91147423 1
0.4%
20.89173698 1
0.4%
20.88186836 1
0.4%
20.87199974 1
0.4%
20.86213112 1
0.4%

KO
Real number (ℝ)

HIGH CORRELATION 

Distinct235
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.973449
Minimum50.928753
Maximum65.259277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-09-13T00:46:30.259019image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum50.928753
5-th percentile52.302676
Q154.801553
median59.691797
Q362.458469
95-th percentile64.251927
Maximum65.259277
Range14.330524
Interquartile range (IQR)7.6569166

Descriptive statistics

Standard deviation4.0826182
Coefficient of variation (CV)0.069228073
Kurtosis-1.1422019
Mean58.973449
Median Absolute Deviation (MAD)3.1266346
Skewness-0.40046129
Sum14861.309
Variance16.667771
MonotonicityNot monotonic
2024-09-13T00:46:30.333088image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59.56953049 3
 
1.2%
52.63705444 3
 
1.2%
62.45465469 3
 
1.2%
60.10437393 2
 
0.8%
65.01286316 2
 
0.8%
58.97285461 2
 
0.8%
63.68225098 2
 
0.8%
62.52904892 2
 
0.8%
62.27595901 2
 
0.8%
61.96723557 2
 
0.8%
Other values (225) 229
90.9%
ValueCountFrequency (%)
50.9287529 1
0.4%
51.09376144 1
0.4%
51.15740967 1
0.4%
51.30413818 1
0.4%
51.40436172 1
0.4%
51.43348312 1
0.4%
51.46260071 1
0.4%
51.52083588 1
0.4%
51.91059113 1
0.4%
52.03527069 1
0.4%
ValueCountFrequency (%)
65.25927734 1
0.4%
65.23956299 1
0.4%
65.01286316 2
0.8%
64.99315643 1
0.4%
64.83544922 1
0.4%
64.77630615 1
0.4%
64.74794006 1
0.4%
64.69829559 1
0.4%
64.61860657 1
0.4%
64.55931091 1
0.4%

Interactions

2024-09-13T00:46:26.816250image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:16.040515image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:16.801549image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:17.534571image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:18.360036image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:19.080095image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:19.935458image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:20.685411image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:21.518995image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:22.281862image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:23.000824image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:23.792249image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:24.513407image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:25.282716image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:26.086357image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:26.865711image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:16.100438image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:16.852187image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:17.585330image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:18.409517image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:19.134277image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:19.988849image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:20.736688image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:21.568014image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:22.332412image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:23.050515image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:23.840296image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:24.565800image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:25.330918image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:26.136449image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:26.914620image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:16.151169image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:16.898247image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:17.698433image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:18.456016image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:19.186644image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:20.038505image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:20.783931image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:21.616516image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:22.378893image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:23.096242image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:23.889776image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:24.616264image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:25.378809image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:26.183282image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:26.967383image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:16.206605image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:16.950273image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:17.750547image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:18.508305image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:19.242409image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:20.093041image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:20.834831image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:21.670107image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:22.428876image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:23.148848image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:23.939592image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:24.671944image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:25.428644image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:26.236297image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:27.015641image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:16.253966image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:16.997455image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:17.798953image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:18.552662image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:19.292708image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:20.141009image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:20.881797image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:21.719359image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:22.476498image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:23.192272image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:23.986943image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:24.719536image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:25.558695image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:26.281770image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:27.069862image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:16.308954image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:17.052329image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:17.855623image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:18.604414image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:19.347904image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:20.196148image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:20.934974image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:21.776005image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:22.528395image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:23.246028image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:24.040594image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:24.775044image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:25.610825image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:26.336398image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:27.120267image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:16.358871image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:17.101317image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:17.908823image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:18.654332image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:19.400814image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:20.245280image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:20.987512image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:21.827770image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:22.578128image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:23.293623image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:24.088267image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:24.828428image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:25.661057image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:26.384921image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:27.168130image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:16.407652image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:17.147936image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:17.959097image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:18.700240image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:19.452092image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:20.292667image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:21.034143image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:21.876878image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:22.625123image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:23.340478image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:24.135763image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:24.877169image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:25.707493image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:26.433789image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:27.223123image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:16.461331image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:17.201016image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:18.014526image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:18.751632image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:19.580461image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:20.347215image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:21.085653image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:21.929666image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:22.676279image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:23.467500image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:24.186106image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:24.932240image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:25.757661image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:26.485978image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:27.271255image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:16.508934image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:17.246700image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:18.062583image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:18.795182image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:19.627001image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:20.392485image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:21.130904image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:21.978284image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:22.721037image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:23.512976image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:24.232545image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:24.980437image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:25.804382image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:26.531905image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:27.316188image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:16.555700image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:17.294297image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:18.111009image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:18.840578image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:19.676763image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:20.439749image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:21.176951image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:22.027438image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:22.764854image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:23.558067image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:24.275758image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:25.030171image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:25.848377image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:26.577577image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:27.363038image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:16.602435image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:17.339045image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:18.157798image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:18.884657image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:19.726715image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:20.487631image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:21.222987image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:22.074617image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:22.810586image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:23.602681image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:24.320386image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:25.077698image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:25.895482image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:26.621963image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:27.415217image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:16.656376image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:17.393145image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:18.212518image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:18.934577image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:19.782683image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:20.540075image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:21.274192image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:22.129999image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:22.860077image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:23.653019image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:24.371780image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:25.131411image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:25.946724image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:26.675047image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:27.462372image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:16.702252image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:17.437439image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:18.259284image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:18.982869image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:19.832275image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:20.585864image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:21.322162image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:22.177808image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:22.906220image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:23.696509image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:24.416033image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:25.179498image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:25.992556image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:26.721060image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:27.509712image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:16.752521image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:17.486707image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:18.309326image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:19.031396image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:19.883429image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:20.635643image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:21.369476image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:22.230009image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:22.951842image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:23.743186image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:24.463853image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:25.230963image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:26.038905image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-13T00:46:26.765909image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Correlations

2024-09-13T00:46:30.392482image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
AAPLAMZNCRMGOOGJPMKOMCDNKEORCLSBUXTTSLATWTRXOMZM
AAPL1.0000.3080.1440.3700.1450.1750.6040.2810.2610.260-0.5460.699-0.168-0.053-0.020
AMZN0.3081.0000.9260.9520.857-0.729-0.0500.9310.9200.901-0.5390.6260.569-0.8370.839
CRM0.1440.9261.0000.9170.922-0.826-0.1220.9320.9400.909-0.4560.5520.545-0.8570.917
GOOG0.3700.9520.9171.0000.857-0.696-0.0040.9390.8950.876-0.5530.6610.462-0.8170.828
JPM0.1450.8570.9220.8571.000-0.787-0.1340.9230.8860.844-0.3670.5320.492-0.8190.851
KO0.175-0.729-0.826-0.696-0.7871.0000.389-0.758-0.733-0.7780.358-0.182-0.3830.851-0.836
MCD0.604-0.050-0.122-0.004-0.1340.3891.000-0.0200.0200.048-0.0380.385-0.1110.215-0.179
NKE0.2810.9310.9320.9390.923-0.758-0.0201.0000.8990.889-0.4820.6380.496-0.8410.856
ORCL0.2610.9200.9400.8950.886-0.7330.0200.8991.0000.890-0.4780.6340.613-0.8150.829
SBUX0.2600.9010.9090.8760.844-0.7780.0480.8890.8901.000-0.4500.4750.486-0.8490.878
T-0.546-0.539-0.456-0.553-0.3670.358-0.038-0.482-0.478-0.4501.000-0.5750.0350.352-0.243
TSLA0.6990.6260.5520.6610.532-0.1820.3850.6380.6340.475-0.5751.0000.219-0.3230.330
TWTR-0.1680.5690.5450.4620.492-0.383-0.1110.4960.6130.4860.0350.2191.000-0.4860.533
XOM-0.053-0.837-0.857-0.817-0.8190.8510.215-0.841-0.815-0.8490.352-0.323-0.4861.000-0.877
ZM-0.0200.8390.9170.8280.851-0.836-0.1790.8560.8290.878-0.2430.3300.533-0.8771.000

Missing values

2024-09-13T00:46:27.664157image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-09-13T00:46:27.780897image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

JPMXOMCRMAMZNTSLATWTRAAPLORCLGOOGZMMCDNKESBUXTKO
0155.28256251.443314268.320007173.949997244.69667165.550003151.66017288.562317145.841995290.859985232.953491163.017487114.88739018.96111954.612629
1156.00201452.696636264.149994173.156006244.13000564.599998152.79380888.414650144.218994295.089996234.635956162.135849114.80914319.27492954.689697
2155.05894552.495712267.079987173.902496244.52333164.660004153.44018688.611557144.774994298.290009233.608871161.759384114.63308019.21913954.651161
3154.78672852.189560265.209991175.464493250.97332864.980003155.81687987.351303145.518997299.959991231.036270161.115479113.26361819.12151153.630005
4154.09645151.711193262.619995176.274994251.28999362.270000154.24568288.089737144.883499293.600006233.413239159.203583115.46453119.24703454.352516
5154.76728851.749466260.739990174.207993251.61999562.459999153.21147288.158653144.913498295.859985233.403458161.808929116.19815819.12151153.813042
6152.98812951.644226257.200012173.457504245.42334061.560001148.13989388.296494141.921005301.500000233.961029162.056595116.73616018.95414553.572201
7155.41867152.974075254.110001172.858505247.66667259.660000148.71666087.518684143.464996290.239990235.946747158.024750116.57965919.19124654.015343
8152.70619252.218269254.369995172.500000248.16333060.189999147.29461785.057251143.406006281.440002235.868469157.271866116.26663219.05875254.054165
9153.76591553.978642256.160004173.789505251.94332961.840000148.19955486.376579145.205994279.119995235.721741156.429840112.13871019.22611454.238590
JPMXOMCRMAMZNTSLATWTRAAPLORCLGOOGZMMCDNKESBUXTKO
242121.63999994.379997187.929993142.300003302.86999543.860001174.14999479.320000120.860001103.180000265.128723115.67773488.55000318.43000064.747940
243118.62999794.080002183.770004138.229996296.66665643.990002171.52000478.660004118.12000399.500000265.088959112.83589986.91999818.43000064.698296
244116.66999894.010002176.979996133.220001289.91333043.009998167.57000776.459999115.07000097.440002261.518524110.02397284.94999718.12999963.735317
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